The year of Big Data analytics

Loads of data is generated by users, machines, gadgets and sensors, and just about any application or IoT device is designed to generate and export data.

Typically online user behavior and server logs are analyzed, but also newer data such as the condition of vending machines or cars usage is collected, analyzed, and used to optimize business performance.

Big Data doesn’t just refer to relational dataas in tables or transactions, but also includes content data like text, semantic data, video or audio—It can be any kind of data.

The many disciplines of Big Data are addressed by many experts in many fields. From data engineers who are concerned about streaming data and pipes, to data scientists that try to predict and model forecasts, corporate executives are measuring performance, making everyone a stakeholder. In fact, according to Forbes, 89% of business leaders believe big data will revolutionize business operations the same way the internet did.
As well, the global Big Data market is projected to reach $122B in revenue by 2025.

One thing is for sure, Big Data is transforming the way we live and the way we do business.

We are facing The year of big data analytics with great anticipation for the innovations 2016 will bring, so we’ve put together an essential global events guide for Big Data, Advanced Analytics, IoT, Data Science, Knowledge Discovery & Machine Learning.